Stefan Natu
Employers on the program
- 2020–2024Amazon Web Services4 talks
Appearances by year
- AWS re:Invent
- Toronto Machine Learning Summit (TMLS)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Accelerate R&D in quantum computing with Amazon Braket & NVIDIA CUDA-Q as Amazon Web Services Quantum computing is one day expected to solve problems that are beyond the reach of today’s most powerful classical computers. But these computers won't…Show lessQuantum computing is one day expected to solve problems that are beyond the reach of today’s most powerful classical computers. But these computers won't operate in isolation. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | New approaches to implementing quantum algorithms as AWS While it is becoming easier to implement popular quantum algorithms on hardware through services like Amazon Braket, it can be challenging to generalize these…Show lessWhile it is becoming easier to implement popular quantum algorithms on hardware through services like Amazon Braket, it can be challenging to generalize these algorithms, prepare them to run at scale, and code them in a way that is both efficient and hardware-aware. Many organizations have begun investigating quantum computing but have discovered that moving forward with developing algorithms... | Slides |
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | Secure and compliant machine learning for regulated industries as AWS As organizations bring their machine learning (ML) workloads to the cloud, having access to an environment that is secure is the top requirement. In this…Show lessAs organizations bring their machine learning (ML) workloads to the cloud, having access to an environment that is secure is the top requirement. In this session, learn the steps involved in provisioning a secure ML environment on Amazon SageMaker, dive deep into common customer patterns and architectures, and see how to leverage other AWS services to build these environments in a consistent... | SlidesVideo |
| Nov 16, 2020 | TMLS Annual Conference & Expo 2020 | Toronto Machine Learning Summit (TMLS) | speaker | Workshop: Build, Train, and Deploy Models with Amazon SageMaker as Amazon Web Services |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aarthi Raju | 3 | — | 2024 |
| Adam Hill | 3 | — | 2024 |
| Adam Keller | 3 | — | 2024 |
| Adam Palmer | 3 | — | 2024 |
| Adam Wagner | 3 | — | 2024 |
| Alex DeBrie | 3 | — | 2024 |
| Ali Saidi | 3 | — | 2024 |
| Andrew Baird | 3 | — | 2024 |
| Andy Taylor | 3 | — | 2024 |
| Becky Weiss | 3 | — | 2024 |
| Ben Snively | 3 | — | 2024 |
| Bernie Herdan | 3 | — | 2024 |
| Brad Bebee | 3 | — | 2024 |
| Brad Dispensa | 3 | — | 2024 |
| Brian Terry | 3 | — | 2024 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.